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CORR
2006
Springer
95views Education» more  CORR 2006»
14 years 12 months ago
A Markov Chain based method for generating long-range dependence
This paper describes a model for generating time series which exhibit the statistical phenomenon known as long-range dependence (LRD). A Markov Modulated Process based upon an inf...
Richard G. Clegg, Maurice Dodson
CAI
2007
Springer
15 years 6 months ago
Learning Deterministically Recognizable Tree Series - Revisited
Abstract. We generalize a learning algorithm originally devised for deterministic all-accepting weighted tree automata (wta) to the setting of arbitrary deterministic wta. The lear...
Andreas Maletti
BC
2007
113views more  BC 2007»
14 years 12 months ago
Akaike causality in state space
We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...
Kin Foon Kevin Wong, Tohru Ozaki
ACSD
2010
IEEE
251views Hardware» more  ACSD 2010»
14 years 10 months ago
Modular Interpretation of Heterogeneous Modeling Diagrams into Synchronous Equations Using Static Single Assignment
Abstract--The ANR project SPaCIFY develops a domainspecific programming environment, Synoptic, to engineer embedded software for space applications. Synoptic is an Eclipse-based mo...
Jean-Pierre Talpin, Julien Ouy, Thierry Gautier, L...
ACMSE
2006
ACM
15 years 5 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...